Senior Data Scientist

Company Description

Sports betting, gaming and interactive entertainment is changing, and we’re leading that change. By putting people first. By placing exciting, engaging and entertaining experiences at more fingertips than ever before. We're pulling into pole position by pushing boundaries further. With innovation. With technology. But most importantly, with people like you. Because when you join Entain, it’s your game. So let’s win together.

Job Description

We’re hiring a Senior Data Scientist (Individual Contributor) to join our UK Retention & Data Science team. This is a hands-on role focused on driving player retention and long-term value across our UK brands by turning data into production-ready models and decisioning tools. Working closely with the Lead Data Scientist, you’ll partner with stakeholders to understand business problems, shape the analytics approach, and build solutions that are adopted, measured, and iterated over time.

You’ll own the end-to-end delivery of data science solutions: data preparation and feature engineering, model development and evaluation, deployment and monitoring. You’ll apply statistical modelling, machine learning, and experimentation to create high-quality predictive systems that support customer targeting, personalisation, and marketing optimisation. A core part of the role aside from building predictive models is causal inference: using rigorous methods to quantify the true impact of business changes on KPIs, and to design and improve promotional and marketing policies that drive measurable customer and commercial outcomes.

We’re looking for someone who can operate with autonomy, communicate clearly with technical and non-technical partners, and combine strong statistical foundations with practical Python engineering to ship reliable solutions. Our environment is cloud-first, with a core stack including AWS and Snowflake, and a culture that values learning, collaboration, and impact.

You will be responsible for the following main activities:

• Partner with stakeholders to identify high-impact retention and marketing opportunities, translate business questions into analytical problem statements, and define success metrics.
• Own end-to-end delivery of data science solutions from discovery and prototyping through to production deployment, monitoring, and iteration.
• Develop and deploy predictive models and decisioning tools (e.g., churn/retention, propensity, lifetime value, next-best-action, offer targeting) that are integrated into live customer journeys and operational processes.
• Design, implement, and analyse experiments (A/B and multivariate testing), ensuring robust statistical methodology, appropriate guardrails, and clear interpretation and presentation of results to stakeholders.
• Build incrementality and causal measurement frameworks to quantify the true impact of interventions and business changes on key KPIs (e.g., retention, engagement, NGR), and guide promotional and marketing policy decisions.
• Lead feature engineering and data preparation using Python, SQL, and the analytics stack (Snowflake/AWS), producing reliable, reusable datasets and features for modelling and experimentation.
• Establish model evaluation and monitoring practices (performance, drift, calibration, bias/segmentation checks), and refine models based on feedback and observed outcomes.
• Communicate insights and recommendations clearly to technical and non-technical audiences, translating analyses into practical actions and trade-offs.

Qualifications

• Proficient in the application of data science concepts to commercial problems
• Strong data science, predictive modelling, Machine Learning and AI understanding and experience
• Strong skills in SQL, Python, Git
• Experience in working with vast amounts of data to detect trends and patterns
• Proficient in translating business needs into technical data science requirements
• Strong understanding of A/B testing techniques
• Pragmatic thinking & high degree of attention to detail
• Good understanding of the end to end Machine Learning (ML) environment
• Ability to form arguments and communicate incredibly technical topics in ways that land the point

Additional Information

At Entain, we know that signing top players requires a great starting package, and plenty of support to inspire peak performance. Join us, and a competitive salary is just the beginning. Working for us in the London, you can expect to receive great benefits like:

• Generous group bonus scheme
• Hybrid working - 2 days in the office
• Private medical insurance
• Pension scheme – matched to 6%
• Ability to buy and sell holiday
• Free subscription to wellbeing app Unmind
• Additional “It’s Your Game” day off to use at either Christmas or New Year
• Entain & Enhance days – 2 paid days off to focus on your professional or personal development
• Share save scheme

And outside of this, you’ll have the chance to turn recognition from leaders and colleagues into amazing prizes, join a winning team of talented people and be a part of an inclusive and supporting community where everyone is celebrated for being themselves.

Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.

At Entain, we do what's right. It's one of our core values and that's why we're taking the lead when it comes to creating a diverse, equitable and inclusive future - for our people, and the wider global sports betting and gaming sector. However you identify, our ambition is to ensure our people across the globe feel valued, respected and their individuality celebrated. 

We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally.